calc_quantiles: Calculate the quantiles for an input matrix X
In eehh-stanford/baydem: Bayesian Tools for Reconstructing Past and Present Demography
View source: R/bayesian_inference_functions.R
calc_quantiles R Documentation
Calculate the quantiles for an input matrix X
Description
The input matrix X has dimensions S x G, where S is the number of samples and
G the number of grid points at which X was evaluated. Calculate quantiles for
each grid point, g = 1,2,..G.
Usage
calc_quantiles(X, probs = c(0.025, 0.5, 0.975))
Arguments
X
The matrix for which quantiles are calculated, with dimension S x G
probs
The probability values at which to calculate the quantiles
(default: c(0.025, 0.5, 0.975))
Value
The quantiles, a matrix with dimension length(probs) x G
eehh-stanford/baydem documentation built on June 3, 2024, 5:46 p.m.
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View source: R/bayesian_inference_functions.R
| calc_quantiles | R Documentation |
Calculate the quantiles for an input matrix X
Description
The input matrix X has dimensions S x G, where S is the number of samples and G the number of grid points at which X was evaluated. Calculate quantiles for each grid point, g = 1,2,..G.
Usage
calc_quantiles(X, probs = c(0.025, 0.5, 0.975))
Arguments
X |
The matrix for which quantiles are calculated, with dimension S x G |
probs |
The probability values at which to calculate the quantiles
(default: |
Value
The quantiles, a matrix with dimension length(probs) x G
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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